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Getting Started with TensorFlow

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Learn
  • Install and adopt TensorFlow in your Python environment to solve mathematical problems
  • Get to know the basic machine and deep learning concepts
  • Train and test neural networks to fit your data model
  • Make predictions using regression algorithms
  • Analyze your data with a clustering procedure
  • Develop algorithms for clustering and data classification
  • Use GPU computing to analyze big data
About

Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.

This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.

By the end of this book, you’ll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.

Features
  • Get the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine learning
  • Want to perform faster and more accurate computations in the field of data science? This book will acquaint you with an all-new refreshing library—TensorFlow!
  • Dive into the next generation of numerical computing and get the most out of your data with this quick guide
Page Count 180
Course Length 5 hours 24 minutes
ISBN 9781786468574
Date Of Publication 28 Jul 2016

Authors

Giancarlo Zaccone

Giancarlo Zaccone has over ten years of experience in managing research projects in scientific and industrial areas.

Giancarlo worked as a researcher at the CNR, the National Research Council of Italy. As part of his data science and software engineering projects, he gained experience in numerical computing, parallel computing, and scientific visualization. Currently, Giancarlo is a senior software and system engineer, based in the Netherlands. Here he tests and develops software systems for space and defense applications. Giancarlo holds a master's degree in Physics from the Federico II of Naples and a 2nd level postgraduate master course in Scienti fi c Computing from La Sapienza of Rome.

Giancarlo is the author of the following books: Python Parallel Programminng Cookbook, Getting Started with TensorFlow, Deep Learning with TensorFlow, all by Packt Publishing.